KoreaTelecomScale · $100K
SK Telecom

Winning back Korea one conversation at a time — agentic retention and trust recovery for the post-breach SK Telecom

The 2025 USIM breach turned SKT's subscriber base into an at-risk base overnight — churn waves, SIM-replacement logistics and compensation questions at a scale no human contact center absorbs; an agentic frontline that reaches every wavering subscriber with accurate, policy-bounded conversations is the retention machine the recovery demands, and it fits SKT's own declared AI-company pivot.

Entry use case
Churn-risk retention and win-back outreach
Expected outcome
Contact 100% of the at-risk and churned base with personalized, policy-bounded retention conversations; measure save and win-back rates weekly.
Recommended next step
War-room proposal to retention leadership: a 6-week win-back sprint on a defined churned cohort, measured on recovery rate versus the current SMS-and-dialer baseline.
What we understand

SK Telecom's operating reality

SK Telecom is Korea's largest mobile carrier, which in 2025 suffered a major breach of USIM-related data, leading to a nationwide free SIM-replacement program, executive apologies and government investigation.

Public fact

The breach triggered substantial subscriber losses to KT and LG U+, with cancellation-fee waivers expanding the churn window and intense public scrutiny of SKT's response.

Public fact

SKT has publicly repositioned as an 'AI company' — in-house LLM work, AI data centers and global telco AI alliances — so AI-powered recovery is on-strategy, not off-brand.

Public fact

Breach-era contact volume (SIM swaps, security questions, compensation, cancellations) likely dwarfs normal service load and remains elevated through remediation.

Seller hypothesis — validate

Win-back economics are unusually favorable: churned subscribers left from fear, not network dissatisfaction — a trust-repair conversation can recover them.

Reasoned inference

Any vendor pitch must respect SKT's in-house AI pride: position as best-of-breed frontline execution, benchmarkable against internal builds.

Reasoned inference

Validate with the account team before outreach: Current state of the churn window, waiver policies and at-risk cohort sizes · Internal AI (in-house LLM) deployments already in the contact center · Procurement openness to non-Korean AI platforms post-breach · PIPA and regulator constraints on automated outbound to breach-affected customers

Build vs buy

Why we have a right to win here

Co-build target

Strong internal engineering — sell infrastructure, models, governance, or selected capabilities

Evidence: SKT's declared pivot to an 'AI company' is public and substantive — its own A.X LLM family, AI data centers and global telco-AI alliances — so it will build core AI capability internally; the winnable motion is a benchmarkable frontline deployment on the retention and breach-recovery queues where speed matters more than platform pride.

Why they won't build the full stack: The post-breach recovery clock does not wait for internal platform maturity: reaching the full at-risk base with policy-bounded, fully-logged conversations is a production delivery problem SKT can run alongside its in-house stack — best-of-breed execution now, benchmarked head-to-head against internal builds.

What management is signalling

The 2025 USIM data breach drove subscriber losses, a nationwide free SIM-replacement program, executive apologies and regulatory action — with churn-window economics discussed openly in the Korean market.

Reported factpublic disclosures and investor communications · 2025

GTM implication: Lead with the win-back sprint: churned-subscriber lifetime value versus cost-per-conversation is the cleanest ROI in the account while the recovery remains a board priority.

SKT has publicly repositioned as an AI company — in-house LLM investment, AI data centers and telco AI alliances — making AI-powered recovery on-strategy.

Reported factpublic strategy announcements · 2024-2025

GTM implication: Frame the deployment as SKT's AI thesis made visible in customer recovery, and always as benchmarkable alongside internal builds — never as platform surrender.

What already exists (don't pitch this)
  • T world app with extensive self-service
  • In-house LLM program (A.X) and consumer AI assistant work (A.)
  • AI contact-center technology sold to enterprise customers
  • Nationwide retail network handling SIM-replacement logistics
What customers still can't do end-to-end (pitch this)
  • →Population-scale outbound retention — dialer capacity covers a fraction of the at-risk list
  • →Consistent, compliant breach-related conversations at surge volume
  • →Cross-channel context between retail, app and phone during the remediation program
  • →Attributed save/win-back measurement at cohort level
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Churn-risk retention and win-back outreach
Full at-risk base coverage with policy-bounded offers; save and win-back rates attributed weekly.
Every week of the extended churn window loses subscribers whose lifetime value dwarfs the cost of one good conversation.
Friction today: Save desks are capacity-bound; outreach lists outrun human dialing capacity by an order of magnitude.
VoiceSMSKakaoTalk
Security and SIM-replacement service desk
Accurate, consistent security conversations at unlimited capacity; retail queues decompress.
Breach-related questions are the trust frontline; slow or inconsistent answers re-damage the brand daily.
Friction today: SIM-swap logistics, eSIM reissue and security-status questions flood queues with long waits at retail and phone.
VoiceApp chatKakaoTalk
Billing and plan service line
Routine service automated; human specialists concentrate on retention and security.
Business-as-usual service still runs underneath the crisis; automating it frees human capacity for trust-sensitive cases.
Friction today: Routine billing and plan changes compete for agents consumed by breach-related volume.
VoiceApp chat
Watch the change

Churn-risk retention and win-back outreach: today vs the agentic model

Scenario: A 12-year subscriber files an MNP port-out request; within minutes the agent calls, acknowledges the breach directly, confirms her SIM was replaced and her protection status, offers a policy-bounded loyalty package, and — where she wavers — books a human retention specialist with the full transcript attached.
Today
same interaction, two worlds
Agentic layer
At-risk base contacted
capacity-limited fraction
100% attempted
Platform capability
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · At-risk base contacted: Platform capability; save rate measured in pilot
  • · Cost per contact: Gartner customer service cost benchmarks, 2024
  • · QA coverage: Platform capability: every interaction logged and evaluated
  • · Gartner, customer service cost benchmarks (2024): $13.50 median assisted vs $1.84 self-service per contact
  • · McKinsey, digital-first collections research: 20–25% NPL reduction among leaders; up to 40% opex reduction with gen AI
  • · Baymard Institute: ~70% average cart abandonment (meta-analysis)
  • · IAMAI–Kantar via IBEF (2025): 900M+ Indian internet users; 98% consume Indic-language content
  • · LeadSquared and vendor funnel studies: 78% of students choose the first institution to respond (directional, vendor data)
  • · HDI / ITSM operator benchmarks: $15–25 per L1 ticket; 40–60% of L1 volume is resets/status (validate per customer)
  • · Conventional-flow wait times and volumes are typical operator patterns — assumptions to replace with the customer's own baseline
  • · Agentic-flow behaviors (context retention, 100% logging, in-line policy checks) are platform capabilities, not projections
Recommended solution

One integrated stack, opinionated for this account

Channels · Tilicho Labs
VoiceSMSKakaoTalkApp chat

Voice & channel orchestration, telephony, conversational execution, session/state, routing, integration build. Capability coverage validated during implementation.

Intelligence · Google Cloud
Gemini reasoningEnterprise groundingWorkflow agentsMulti-agent orchestrationGoverned actionsEvaluation & analytics
Systems · SK Telecom
CRMChurn modelsOffer matrixBSSSIM/USIM managementSecurity opsRetail appointment systemsBilling

API access to these systems is the critical-path dependency.

Trust & languages
KoreanEnglish

Identity-bound sessions, policy-bounded actions, 100% audit logging, human approvals at defined points, in-tenant intelligence.

Business case

The economics, with your numbers

Addressable monthly interactions3.0M
Seller assumption — replace in discovery
Current cost per interaction ($)$5.0
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$15.0M
Current operating cost / mo
$92.1M
Modelled gross benefit / yr
0.0 mo
Payback on Scale
1322%
3-yr ROI (modelled)
Automated/assisted interactions per month1.7M
Modelled AI run-cost per month (usage + cloud, system estimate)$578K
New monthly operating cost$7.3M

All figures are modelling estimates from the labeled inputs above — nothing here is customer-provided yet. The pilot's first job is replacing these assumptions with SK Telecom's measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Scale — $100K implementation

Scale · $100K · A multi-channel production deployment10–14 weeks to production across priority workflows

Why this package for SK Telecom: Retention outreach plus breach-related service surge are two urgent, well-bounded workflows; SKT's in-house AI ambitions make a scoped, benchmarkable deployment more winnable than a platform transformation.

Included
  • 4–6 channels
  • 2–3 priority workflows
  • Multiple enterprise integrations
  • API credential & security setup
  • Advanced orchestration
  • Multilingual support
  • Agent Assist / human escalation
  • Production analytics
  • Expansion roadmap
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Enterprise-wide governance build-out
  • ✕Multi-BU rollout
Recurring costs (separate from the package)

Packages cover implementation and integration only. Recurring costs are billed separately: Tilicho Labs platform usage (~$0.15/call-min indicative, usage only), Google Cloud consumption, telephony/carrier charges, managed operations, and support & optimization. No package includes unlimited usage.

Customer resources required
  • · API access + credentials for: CRM, Churn models, Offer matrix
  • · A named business owner for churn-risk retention and win-back outreach
  • · Security review counterpart and policy sign-off (CRM scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“You've told Korea SKT is an AI company; deploying agentic AI to win back every wavering subscriber is that claim made visible — recovery executed with the very capability you're betting the company on.”

CIO / CTO

“Run this as a benchmark: a Gemini-powered frontline on the retention queue, measured head-to-head against internal builds — best-of-breed pragmatism, not platform surrender.”

COO

“SIM-replacement logistics plus churn defense plus normal operations exceed any staffing plan; elastic agentic capacity is the only arithmetic that covers all three at once.”

Head of Customer Value / Retention

“Your at-risk list is bigger than your dialer capacity by 10x; an agent that reaches everyone with approved offers turns your save rate from a sample into a population metric.”

Chief Risk / Compliance Officer

“Post-breach, every customer conversation is regulatory evidence: 100% logging, approved-script enforcement, PIPA-aligned processing and human gates on compensation — stronger control than a surge-hired human floor.”

CFO / Procurement

“Churned-subscriber lifetime value against cost-per-conversation is the easiest ROI math in the account; the pilot quantifies save-rate lift in weeks, with usage-based run cost.”

Outreach

Pre-built offer emails for SK Telecom

Written from this account's own research — the strategic signal, the capability gap, the entry workflow, and the modelled economics — not a mail-merge template. Pick the moment and the persona, edit anything, then copy or open in your mail client.

Moment in the deal
Cold outreach — no prior conversation
Who it's addressed to
Cares about: The workflow itself and its daily failure modes
Register
Length
Draft — edit freely before sending
Open in mail client

Customer-safe by construction: drafts are composed only from customer-facing fields. Account tier, build-vs-buy classification, priority score, internal routing, and partner-commercial detail are not inputs to the composer, so they cannot appear in a draft. Money figures are always framed as modelled from the customer's own volumes. Read before sending — you own what goes out.

The pursuit

Tier 1 — immediate strategic pursuit

Why this tier

Korea's #1 mobile carrier is in a trust-and-retention fight after its 2025 USIM data breach triggered mass churn, regulatory action and free-SIM-replacement logistics at national scale — the region's most urgent conversational-volume problem.

30 / 60 / 90-day plan
  • Day 0–30: War-room proposal to retention leadership: a 6-week win-back sprint on a defined churned cohort, measured on recovery rate versus the current SMS-and-dialer baseline.; confirm sponsor and baseline data access; validate: Current state of the churn window, waiver policies and at-risk cohort sizes
  • Day 31–60: architecture & security review with the platform team; Tilicho Labs scoping on Voice + SMS; pilot scope signed
  • Day 61–90: Scale package kickoff; churn-risk retention and win-back outreach pilot in build; success thresholds locked with the Head of Customer Value / Retention
Recommended next step

War-room proposal to retention leadership: a 6-week win-back sprint on a defined churned cohort, measured on recovery rate versus the current SMS-and-dialer baseline.

Entry: Churn-risk retention and win-back outreach · Scale package · 10–14 weeks to production across priority workflows. Human fallback throughout; success thresholds agreed before build.

Start the pursuit

Research-based priority-account universe assembled from public information, market scale, communication volume, and solution fit. This is NOT an authoritative list of top Google Cloud customers; existing Google Cloud relationships are noted only where publicly reported. Validate every account with the account team before outreach.